Pub Date : 1900-01-01DOI: 10.1504/IJIDSS.2018.099891
G. Sinha, K. S. Raju, Rajendra Kumar Patra, D. Aye, D. Khin
{"title":"Research studies on human cognitive ability","authors":"G. Sinha, K. S. Raju, Rajendra Kumar Patra, D. Aye, D. Khin","doi":"10.1504/IJIDSS.2018.099891","DOIUrl":"https://doi.org/10.1504/IJIDSS.2018.099891","url":null,"abstract":"","PeriodicalId":311979,"journal":{"name":"Int. J. Intell. Def. Support Syst.","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117207954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1504/IJIDSS.2018.099892
Jyotirmaya Mishra, S. Mishra, A. Mishra
{"title":"Opportunities with visualisation linked with virtualised data: a case study","authors":"Jyotirmaya Mishra, S. Mishra, A. Mishra","doi":"10.1504/IJIDSS.2018.099892","DOIUrl":"https://doi.org/10.1504/IJIDSS.2018.099892","url":null,"abstract":"","PeriodicalId":311979,"journal":{"name":"Int. J. Intell. Def. Support Syst.","volume":"194 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131919966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1504/IJIDSS.2008.023008
Satchidananda Dehuri, Ashish Ghosh, Sung-Bae Cho
Classification using a Polynomial Neural Network (PNN) can be considered as a multi-objective problem rather than as a single objective one. Measures like predictive accuracy and architectural complexity used for evaluating PNN based classification can be thought of as two different conflicting objectives. Using these two metrics as the objectives of classification problem, this paper uses a Pareto based Particle Swarm Optimisation (PPSO) technique to find out a set of non-dominated solutions with less complex architecture and high predictive accuracy. The proposed method is used to train PNN through simultaneous optimisation of topological structure and weights. An extensive experimental study has been carried out to illustrate the importance and effectiveness of the proposed method.
{"title":"Particle Swarm Optimised polynomial neural network for classification: a multi-objective view","authors":"Satchidananda Dehuri, Ashish Ghosh, Sung-Bae Cho","doi":"10.1504/IJIDSS.2008.023008","DOIUrl":"https://doi.org/10.1504/IJIDSS.2008.023008","url":null,"abstract":"Classification using a Polynomial Neural Network (PNN) can be considered as a multi-objective problem rather than as a single objective one. Measures like predictive accuracy and architectural complexity used for evaluating PNN based classification can be thought of as two different conflicting objectives. Using these two metrics as the objectives of classification problem, this paper uses a Pareto based Particle Swarm Optimisation (PPSO) technique to find out a set of non-dominated solutions with less complex architecture and high predictive accuracy. The proposed method is used to train PNN through simultaneous optimisation of topological structure and weights. An extensive experimental study has been carried out to illustrate the importance and effectiveness of the proposed method.","PeriodicalId":311979,"journal":{"name":"Int. J. Intell. Def. Support Syst.","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124474358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1504/IJIDSS.2015.075476
Varun Kalyan, Subhashini Ganapathy, S. Narayanan, R. Hill
Time critical vehicle routings, such as with unmanned aerial vehicle (UAV) routing, are considered as integrated location routing problems where the objective is to simultaneously optimise the location and the routing. Although computer systems are good at providing solutions for optimised routing, they may not have the expert knowledge as that of human operators. Human operators play an important role in ensuring the safety and in achieving operational effectiveness in such systems. Problems such as increased human error, lack of situational awareness, and opacity from poorly automated systems remain; particularly in scenarios where human operators must make decisions in time-pressured planning. Hence, we study joint cognitive problem solving for a class of problems related to supervisory control of integrated vehicle routing. Results indicate that the graphical representation of the routing alternatives led to quicker evaluation time by the operator than tabular representation.
{"title":"Integrated vehicle routing: a case study of unmanned aerial vehicle decision making","authors":"Varun Kalyan, Subhashini Ganapathy, S. Narayanan, R. Hill","doi":"10.1504/IJIDSS.2015.075476","DOIUrl":"https://doi.org/10.1504/IJIDSS.2015.075476","url":null,"abstract":"Time critical vehicle routings, such as with unmanned aerial vehicle (UAV) routing, are considered as integrated location routing problems where the objective is to simultaneously optimise the location and the routing. Although computer systems are good at providing solutions for optimised routing, they may not have the expert knowledge as that of human operators. Human operators play an important role in ensuring the safety and in achieving operational effectiveness in such systems. Problems such as increased human error, lack of situational awareness, and opacity from poorly automated systems remain; particularly in scenarios where human operators must make decisions in time-pressured planning. Hence, we study joint cognitive problem solving for a class of problems related to supervisory control of integrated vehicle routing. Results indicate that the graphical representation of the routing alternatives led to quicker evaluation time by the operator than tabular representation.","PeriodicalId":311979,"journal":{"name":"Int. J. Intell. Def. Support Syst.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123698098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1504/IJIDSS.2011.044804
E. H. Lo, T. Au, P. Hoek, L. Eberl
Command and Control (C2) enables a commander to recognise what objectives to achieve and is the means to ensure that appropriate actions are taken. Important insights can be gained by studying the complex patterns of interactions in military headquarters. Since traditional social network analysis (SNA) quantifies social interactions in terms of network theory without associated contextual information, we have developed a tool, called SNA of C2 (SNAC2), to exploit captured information of an evolving social network. Features include contextual marking–up of data, tagging with meta–data, the ability to categorise events into phases for in–depth analysis and enhanced metrics allowing quantitative temporal analysis of the social network. SNAC2 is applied to analysing dynamic targeting, a process used in the air and space operations centre (AOC) to engage time–sensitive targets (TSTs). The rich data captured could be used to expose process chokepoints, inefficient work practices and inappropriate workspace design.
{"title":"Analysis of evolving team interactions in dynamic targeting","authors":"E. H. Lo, T. Au, P. Hoek, L. Eberl","doi":"10.1504/IJIDSS.2011.044804","DOIUrl":"https://doi.org/10.1504/IJIDSS.2011.044804","url":null,"abstract":"Command and Control (C2) enables a commander to recognise what objectives to achieve and is the means to ensure that appropriate actions are taken. Important insights can be gained by studying the complex patterns of interactions in military headquarters. Since traditional social network analysis (SNA) quantifies social interactions in terms of network theory without associated contextual information, we have developed a tool, called SNA of C2 (SNAC2), to exploit captured information of an evolving social network. Features include contextual marking–up of data, tagging with meta–data, the ability to categorise events into phases for in–depth analysis and enhanced metrics allowing quantitative temporal analysis of the social network. SNAC2 is applied to analysing dynamic targeting, a process used in the air and space operations centre (AOC) to engage time–sensitive targets (TSTs). The rich data captured could be used to expose process chokepoints, inefficient work practices and inappropriate workspace design.","PeriodicalId":311979,"journal":{"name":"Int. J. Intell. Def. Support Syst.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127837592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1504/IJIDSS.2011.044806
Avishek Chatterjee, N. Singh, Olive Ray, A. Chatterjee, A. Rakshit
This paper presents a two-camera-based vision system for image feature selection, tracking of the selected features and the calculation of 3D distance of the selected features. The feature tracking approach is based on minimisation of the sum of squared intensity differences between the past and the current window, which determines whether a current window is a warped version of the past window. The 3D positions of these features can be calculated on the basis of the known image coordinates of the same point/window in the left and right camera images. The distance calculation is carried out by employing ‘midpoint of closest approach’. The vision system with the controlling architecture is implemented with the KOALA mobile robot. The system has been tested for real life environment in our laboratory and the experiments showed that the system can reliably detect features and track in subsequent frames and the 3D distances calculated for tracked features showed satisfactory accuracy.
{"title":"A two-camera-based vision system for image feature identification, feature tracking and distance measurement by a mobile robot","authors":"Avishek Chatterjee, N. Singh, Olive Ray, A. Chatterjee, A. Rakshit","doi":"10.1504/IJIDSS.2011.044806","DOIUrl":"https://doi.org/10.1504/IJIDSS.2011.044806","url":null,"abstract":"This paper presents a two-camera-based vision system for image feature selection, tracking of the selected features and the calculation of 3D distance of the selected features. The feature tracking approach is based on minimisation of the sum of squared intensity differences between the past and the current window, which determines whether a current window is a warped version of the past window. The 3D positions of these features can be calculated on the basis of the known image coordinates of the same point/window in the left and right camera images. The distance calculation is carried out by employing ‘midpoint of closest approach’. The vision system with the controlling architecture is implemented with the KOALA mobile robot. The system has been tested for real life environment in our laboratory and the experiments showed that the system can reliably detect features and track in subsequent frames and the 3D distances calculated for tracked features showed satisfactory accuracy.","PeriodicalId":311979,"journal":{"name":"Int. J. Intell. Def. Support Syst.","volume":"137 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114004556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1504/IJIDSS.2009.031413
V. Ivancevic, D. Reid
We present a new approach to modelling dynamics of confined crowds driven by Entropic Stochastic Resonance (ESR). The standard approach is to model confined Brownian particles using overdamped Langevin equations and corresponding linear, real-time, Fokker-Planck equations for Probability Density Functions (PDFs). Instead, we propose a new approach based on a set of (weakly or strongly) coupled Quantum Neural Networks (QNNs), which are self-organised, complex-valued nonlinear Schrodinger equations with unsupervised Hebbian-type learning. Utilising the full power of nonlinear analysis in the complex-plane, the new approach promises to be ideal for any kind of two-dimensional terrains. Besides, instead of over-simplistic Brownian particles, the new approach allows us to model crowds consisting of rigid-body-type agents.
{"title":"Dynamics of confined crowds modelled using Entropic Stochastic Resonance and Quantum Neural Networks","authors":"V. Ivancevic, D. Reid","doi":"10.1504/IJIDSS.2009.031413","DOIUrl":"https://doi.org/10.1504/IJIDSS.2009.031413","url":null,"abstract":"We present a new approach to modelling dynamics of confined crowds driven by Entropic Stochastic Resonance (ESR). The standard approach is to model confined Brownian particles using overdamped Langevin equations and corresponding linear, real-time, Fokker-Planck equations for Probability Density Functions (PDFs). Instead, we propose a new approach based on a set of (weakly or strongly) coupled Quantum Neural Networks (QNNs), which are self-organised, complex-valued nonlinear Schrodinger equations with unsupervised Hebbian-type learning. Utilising the full power of nonlinear analysis in the complex-plane, the new approach promises to be ideal for any kind of two-dimensional terrains. Besides, instead of over-simplistic Brownian particles, the new approach allows us to model crowds consisting of rigid-body-type agents.","PeriodicalId":311979,"journal":{"name":"Int. J. Intell. Def. Support Syst.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115596847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1504/IJIDSS.2008.023006
P. N. R. Kumar, T. Narendran
This paper reports a study of the strategic network problem of routing military convoys between specific origin and destination pairs. Known as the Convoy Movement Problem (CMP), this problem is formulated as an integer linear program. The proposed mathematical model is evaluated on the basis of average number of iterations and average CPU times. LP-based lower bounds and heuristic based upper bounds were generated and used for evaluating the proposed model, particularly for large problem instances for which optimal solutions could not be obtained.
{"title":"Integer programming formulation for convoy movement problem","authors":"P. N. R. Kumar, T. Narendran","doi":"10.1504/IJIDSS.2008.023006","DOIUrl":"https://doi.org/10.1504/IJIDSS.2008.023006","url":null,"abstract":"This paper reports a study of the strategic network problem of routing military convoys between specific origin and destination pairs. Known as the Convoy Movement Problem (CMP), this problem is formulated as an integer linear program. The proposed mathematical model is evaluated on the basis of average number of iterations and average CPU times. LP-based lower bounds and heuristic based upper bounds were generated and used for evaluating the proposed model, particularly for large problem instances for which optimal solutions could not be obtained.","PeriodicalId":311979,"journal":{"name":"Int. J. Intell. Def. Support Syst.","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128559600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1504/IJIDSS.2011.044805
Changbin Yu, Baoqi Huang, Hongyi Chee, B. Anderson
Localisation is a vital problem in a multitude of research fields, such as navigation, tracking, sensor networks and so on. In previous work, the problem is considered in the plane or in three-dimensional space. This work deals with the problem of distance-based localisation on the surface of the earth when the points lie in a two-dimensional manifold. The challenge lies with finding an appropriate technique to cope with noisy measurements when the conventional formulation for a planar model cannot be used. To this end, we adopt a tool recently applied to the planar model, the Cayley-Menger matrix. Simulation results show that the proposed method is effective and robust to noise. We also quantify the effect of a planar approximation.
{"title":"Noisy localisation on the sphere","authors":"Changbin Yu, Baoqi Huang, Hongyi Chee, B. Anderson","doi":"10.1504/IJIDSS.2011.044805","DOIUrl":"https://doi.org/10.1504/IJIDSS.2011.044805","url":null,"abstract":"Localisation is a vital problem in a multitude of research fields, such as navigation, tracking, sensor networks and so on. In previous work, the problem is considered in the plane or in three-dimensional space. This work deals with the problem of distance-based localisation on the surface of the earth when the points lie in a two-dimensional manifold. The challenge lies with finding an appropriate technique to cope with noisy measurements when the conventional formulation for a planar model cannot be used. To this end, we adopt a tool recently applied to the planar model, the Cayley-Menger matrix. Simulation results show that the proposed method is effective and robust to noise. We also quantify the effect of a planar approximation.","PeriodicalId":311979,"journal":{"name":"Int. J. Intell. Def. Support Syst.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124313453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1504/IJIDSS.2018.099878
Graeme Anderson, D. Reed, S. Nucci, A. Kwong, Janet Wilson
Weapon effect modelling has many applications, but in this paper we focus on how advanced computer models can be used to assess the effectiveness of blast shielding structures and materials, for example to improve the safety of weapons production. Safety laws are changing from prescriptive, solution-based regulations to a risk-management-based approach, so being able to estimate the performance of protective measures allows us to produce directly-relevant safety evidence. Such an approach can be used to show that risks are reduced so far as is reasonably practicable (SFAIRP) in order to demonstrate compliance with the WHS Act, 2011. This paper first describes how a variety of computer-based models for the prediction of the development and propagation of blast pressures can be used to provide a detailed assessment of the risks associated with explosions in complex environments, with particular reference to injury assessment - something that is sometimes impractical with simpler techniques. We then show how some of these techniques have been used in two real-world examples to successfully support safety case development. Finally, we extrapolate from the examples, showing how these techniques could be applied to assess weapons safety in different environments, or for risk assessment in defensive or offensive scenarios.
{"title":"Weapons effects modelling for safety applications","authors":"Graeme Anderson, D. Reed, S. Nucci, A. Kwong, Janet Wilson","doi":"10.1504/IJIDSS.2018.099878","DOIUrl":"https://doi.org/10.1504/IJIDSS.2018.099878","url":null,"abstract":"Weapon effect modelling has many applications, but in this paper we focus on how advanced computer models can be used to assess the effectiveness of blast shielding structures and materials, for example to improve the safety of weapons production. Safety laws are changing from prescriptive, solution-based regulations to a risk-management-based approach, so being able to estimate the performance of protective measures allows us to produce directly-relevant safety evidence. Such an approach can be used to show that risks are reduced so far as is reasonably practicable (SFAIRP) in order to demonstrate compliance with the WHS Act, 2011. This paper first describes how a variety of computer-based models for the prediction of the development and propagation of blast pressures can be used to provide a detailed assessment of the risks associated with explosions in complex environments, with particular reference to injury assessment - something that is sometimes impractical with simpler techniques. We then show how some of these techniques have been used in two real-world examples to successfully support safety case development. Finally, we extrapolate from the examples, showing how these techniques could be applied to assess weapons safety in different environments, or for risk assessment in defensive or offensive scenarios.","PeriodicalId":311979,"journal":{"name":"Int. J. Intell. Def. Support Syst.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131582745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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